MagicAnimate を試す
Magic Animate は画像の動画化をしてくれるオープンソースです
今回は、Windows版をつかってやってみます
実験環境は Core i7 + 64GB Ram + RTX 3090 です
インストールに約30分、ストレージ容量として32GB 程度消費しますのでご注意ください。
作業ディレクトリの作成
d:/ にai_experiment というディレクトリをつくり、その下で作業してみます
PowerShellを開いて、以下実行します
d:
mkdir ai_experiment実行結果
Windows PowerShell
Copyright (C) Microsoft Corporation. All rights reserved.
PS D:\> mkdir ai_experiment
ディレクトリ: D:\
Mode LastWriteTime Length Name
---- ------------- ------ ----
d----- 2024/01/16 17:10 ai_experiment
プロジェクトのクローン
実験用ディレクトリに入り以下コマンドでプロジェクトをクローンします
cd .\ai_experiment\
git clone https://github.com/sdbds/magic-animate-for-windows.git
実行結果
PS D:\> cd .\ai_experiment\
PS D:\ai_experiment> git clone https://github.com/sdbds/magic-animate-for-windows.git
Cloning into 'magic-animate-for-windows'...
remote: Enumerating objects: 272, done.
remote: Counting objects: 100% (272/272), done.
remote: Compressing objects: 100% (167/167), done.
remote: Total 272 (delta 133), reused 221 (delta 94), pack-reused 0
Receiving objects: 100% (272/272), 24.99 MiB | 22.34 MiB/s, done.
Resolving deltas: 100% (133/133), done.
PowerShell の実行ポリシーを変更
Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope Process
仮想環境の作成
クローンしたプロジェクト以下に入って、仮想環境を作成します
PS D:\ai_experiment> cd .\magic-animate-for-windows\
PS D:\ai_experiment\magic-animate-for-windows> python -m venv venv
仮想環境を開始
venv\Scripts\activate.ps1
実行結果
PS D:\ai_experiment\magic-animate-for-windows> venv\Scripts\activate.ps1
仮想環境に pytorch をインストールする
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
Looking in indexes: https://download.pytorch.org/whl/cu118
実行結果
Collecting torch
Using cached https://download.pytorch.org/whl/cu118/torch-2.3.1%2Bcu118-cp311-cp311-win_amd64.whl (2673.0 MB)
Collecting torchvision
Using cached https://download.pytorch.org/whl/cu118/torchvision-0.18.1%2Bcu118-cp311-cp311-win_amd64.whl (4.9 MB)
Collecting torchaudio
Using cached https://download.pytorch.org/whl/cu118/torchaudio-2.3.1%2Bcu118-cp311-cp311-win_amd64.whl (4.0 MB)
Collecting filelock (from torch)
Using cached https://download.pytorch.org/whl/filelock-3.13.1-py3-none-any.whl (11 kB)
Collecting typing-extensions>=4.8.0 (from torch)
Using cached https://download.pytorch.org/whl/typing_extensions-4.9.0-py3-none-any.whl (32 kB)
Collecting sympy (from torch)
Using cached https://download.pytorch.org/whl/sympy-1.12-py3-none-any.whl (5.7 MB)
Collecting networkx (from torch)
Using cached https://download.pytorch.org/whl/networkx-3.2.1-py3-none-any.whl (1.6 MB)
Collecting jinja2 (from torch)
Using cached https://download.pytorch.org/whl/Jinja2-3.1.3-py3-none-any.whl (133 kB)
Collecting fsspec (from torch)
Using cached https://download.pytorch.org/whl/fsspec-2024.2.0-py3-none-any.whl (170 kB)
Collecting mkl<=2021.4.0,>=2021.1.1 (from torch)
Using cached https://download.pytorch.org/whl/mkl-2021.4.0-py2.py3-none-win_amd64.whl (228.5 MB)
Collecting numpy (from torchvision)
Using cached https://download.pytorch.org/whl/numpy-1.26.3-cp311-cp311-win_amd64.whl (15.8 MB)
Collecting pillow!=8.3.*,>=5.3.0 (from torchvision)
Using cached https://download.pytorch.org/whl/pillow-10.2.0-cp311-cp311-win_amd64.whl (2.6 MB)
Collecting intel-openmp==2021.* (from mkl<=2021.4.0,>=2021.1.1->torch)
Using cached https://download.pytorch.org/whl/intel_openmp-2021.4.0-py2.py3-none-win_amd64.whl (3.5 MB)
Collecting tbb==2021.* (from mkl<=2021.4.0,>=2021.1.1->torch)
Using cached https://download.pytorch.org/whl/tbb-2021.11.0-py3-none-win_amd64.whl (298 kB)
Collecting MarkupSafe>=2.0 (from jinja2->torch)
Using cached https://download.pytorch.org/whl/MarkupSafe-2.1.5-cp311-cp311-win_amd64.whl (17 kB)
Collecting mpmath>=0.19 (from sympy->torch)
Using cached https://download.pytorch.org/whl/mpmath-1.3.0-py3-none-any.whl (536 kB)
Installing collected packages: tbb, mpmath, intel-openmp, typing-extensions, sympy, pillow, numpy, networkx, mkl, MarkupSafe, fsspec, filelock, jinja2, torch, torchvision, torchaudio
Successfully installed MarkupSafe-2.1.5 filelock-3.13.1 fsspec-2024.2.0 intel-openmp-2021.4.0 jinja2-3.1.3 mkl-2021.4.0 mpmath-1.3.0 networkx-3.2.1 numpy-1.26.3 pillow-10.2.0 sympy-1.12 tbb-2021.11.0 torch-2.3.1+cu118 torchaudio-2.3.1+cu118 torchvision-0.18.1+cu118 typing-extensions-4.9.0
インストールスクリプト実行
次に以下を実行して関連パッケージのインストールとビルドを開始します。
２０分程度かかります。
.\install.ps1
実行結果
Installing deps...
Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu118
Collecting absl-py==1.4.0 (from -r requirements-windows.txt (line 2))
Using cached absl_py-1.4.0-py3-none-any.whl (126 kB)
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Using cached accelerate-0.22.0-py3-none-any.whl (251 kB)
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Using cached aiofiles-23.2.1-py3-none-any.whl (15 kB)
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Using cached aiohttp-3.8.5-cp311-cp311-win_amd64.whl (320 kB)
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Using cached altair-5.0.1-py3-none-any.whl (471 kB)
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Using cached cachetools-5.3.1-py3-none-any.whl (9.3 kB)
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Using cached https://download.pytorch.org/whl/Jinja2-3.1.2-py3-none-any.whl (133 kB)
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Using cached joblib-1.3.2-py3-none-any.whl (302 kB)
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Using cached https://download.pytorch.org/whl/MarkupSafe-2.1.3-cp311-cp311-win_amd64.whl (17 kB)
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Using cached matplotlib-3.7.2-cp311-cp311-win_amd64.whl (7.5 MB)
Requirement already satisfied: mpmath==1.3.0 in d:\ai_experiment\magic-animate-for-windows\venv\lib\site-packages (from -r requirements-windows.txt (line 52)) (1.3.0)
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Installing collected packages: tokenizers, safetensors, pytz, pydub, lit, ffmpy, cmake, antlr4-python3-runtime, zipp, xxhash, wheel, websockets, urllib3, tzdata, toolz, tomlkit, tensorboard-data-server, sniffio, six, shellingham, semantic-version, rpds-py, regex, pyyaml, python-multipart, pyparsing, pygments, pydantic-core, pyasn1, psutil, protobuf, pkgutil-resolve-name, pillow, packaging, orjson, oauthlib, numpy, networkx, multidict, mdurl, markupsafe, markdown, kiwisolver, joblib, importlib-resources, imageio-ffmpeg, idna, h11, grpcio, future, fsspec, frozenlist, fonttools, filelock, exceptiongroup, einops, dill, cycler, colorama, charset-normalizer, certifi, cachetools, av, attrs, async-timeout, annotated-types, aiofiles, absl-py, yarl, werkzeug, tqdm, tifffile, Shapely, scipy, rsa, requests, referencing, PyWavelets, python-dateutil, pydantic, pyasn1-modules, pyarrow, opencv-python, omegaconf, multiprocess, markdown-it-py, lightning-utilities, lazy_loader, jinja2, importlib-metadata, imageio, ffmpeg-python, decord, contourpy, click, anyio, aiosignal, uvicorn, torch, starlette, scikit-image, rich, requests-oauthlib, pandas, matplotlib, jsonschema-specifications, huggingface-hub, httpcore, google-auth, aiohttp, xformers, typer, transformers, torchvision, torchmetrics, jsonschema, imgaug, httpx, google-auth-oauthlib, fastapi, diffusers, accelerate, timm, tensorboard, pytorch-lightning, lpips, gradio-client, datasets, altair, gradio
Attempting uninstall: pillow
Found existing installation: pillow 10.2.0
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Attempting uninstall: numpy
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Attempting uninstall: jinja2
Found existing installation: Jinja2 3.1.3
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Successfully uninstalled Jinja2-3.1.3
Attempting uninstall: torch
Found existing installation: torch 2.3.1+cu118
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Attempting uninstall: torchvision
Found existing installation: torchvision 0.18.1+cu118
Uninstalling torchvision-0.18.1+cu118:
Successfully uninstalled torchvision-0.18.1+cu118
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
torchaudio 2.3.1+cu118 requires torch==2.3.1+cu118, but you have torch 2.0.1+cu118 which is incompatible.
Successfully installed PyWavelets-1.6.0 Shapely-2.0.4 absl-py-1.4.0 accelerate-0.22.0 aiofiles-23.2.1 aiohttp-3.8.5 aiosignal-1.3.1 altair-5.0.1 annotated-types-0.5.0 antlr4-python3-runtime-4.9.3 anyio-3.7.1 async-timeout-4.0.3 attrs-23.1.0 av-12.1.0 cachetools-5.3.1 certifi-2023.7.22 charset-normalizer-3.2.0 click-8.1.7 cmake-3.27.2 colorama-0.4.6 contourpy-1.1.0 cycler-0.11.0 datasets-2.14.4 decord-0.6.0 diffusers-0.21.4 dill-0.3.7 einops-0.6.1 exceptiongroup-1.1.3 fastapi-0.103.0 ffmpeg-python-0.2.0 ffmpy-0.3.1 filelock-3.12.2 fonttools-4.42.1 frozenlist-1.4.0 fsspec-2023.6.0 future-1.0.0 google-auth-2.22.0 google-auth-oauthlib-1.0.0 gradio-4.8.0 gradio-client-0.7.1 grpcio-1.57.0 h11-0.14.0 httpcore-0.17.3 httpx-0.24.1 huggingface-hub-0.16.4 idna-3.4 imageio-2.9.0 imageio-ffmpeg-0.4.3 imgaug-0.4.0 importlib-metadata-6.8.0 importlib-resources-6.0.1 jinja2-3.1.2 joblib-1.3.2 jsonschema-4.19.0 jsonschema-specifications-2023.7.1 kiwisolver-1.4.5 lazy_loader-0.4 lightning-utilities-0.9.0 lit-16.0.6 lpips-0.1.4 markdown-3.4.4 markdown-it-py-3.0.0 markupsafe-2.1.3 matplotlib-3.7.2 mdurl-0.1.2 multidict-6.0.4 multiprocess-0.70.15 networkx-3.1 numpy-1.24.4 oauthlib-3.2.2 omegaconf-2.3.0 opencv-python-4.8.0.76 orjson-3.9.5 packaging-24.1 pandas-2.0.3 pillow-9.5.0 pkgutil-resolve-name-1.3.10 protobuf-4.24.2 psutil-5.9.5 pyarrow-13.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pydantic-2.3.0 pydantic-core-2.6.3 pydub-0.25.1 pygments-2.18.0 pyparsing-3.0.9 python-dateutil-2.9.0.post0 python-multipart-0.0.6 pytorch-lightning-2.0.7 pytz-2023.3 pyyaml-6.0.1 referencing-0.30.2 regex-2023.8.8 requests-2.31.0 requests-oauthlib-1.3.1 rich-13.7.1 rpds-py-0.9.2 rsa-4.9 safetensors-0.3.3 scikit-image-0.20.0 scipy-1.13.1 semantic-version-2.10.0 shellingham-1.5.4 six-1.16.0 sniffio-1.3.0 starlette-0.27.0 tensorboard-2.14.0 tensorboard-data-server-0.7.1 tifffile-2024.5.22 timm-1.0.3 tokenizers-0.13.3 tomlkit-0.12.0 toolz-0.12.0 torch-2.0.1+cu118 torchmetrics-1.1.0 torchvision-0.15.2+cu118 tqdm-4.66.1 transformers-4.32.0 typer-0.12.3 tzdata-2023.3 urllib3-1.26.16 uvicorn-0.23.2 websockets-11.0.3 werkzeug-2.3.7 wheel-0.43.0 xformers-0.0.22 xxhash-3.3.0 yarl-1.9.2 zipp-3.16.2
Checking models...
Creating pretrained_models...
ディレクトリ: D:\ai_experiment\magic-animate-for-windows
Mode LastWriteTime Length Name
---- ------------- ------ ----
d----- 2024/01/16 17:21 pretrained_models
Downloading MagicAnimate models...
Updated Git hooks.
Git LFS initialized.
WARNING: `git lfs clone` is deprecated and will not be updated
with new flags from `git clone`
`git clone` has been updated in upstream Git to have comparable
speeds to `git lfs clone`.
Cloning into 'MagicAnimate'...
remote: Enumerating objects: 17, done.
remote: Counting objects: 100% (13/13), done.
remote: Compressing objects: 100% (13/13), done.
remote: Total 17 (delta 2), reused 0 (delta 0), pack-reused 4 (from 1)
Unpacking objects: 100% (17/17), 2.84 KiB | 24.00 KiB/s, done.
途中で
**Do you need to download SD15? If you don't have any SD15 model locally select y, if you want to change to another SD1.5 model select n. [y/n] (Default is y): **
と聞かれますので、 y を入力します
実行結果（つづき)
Downloading stable-diffusion-v1-5 models...
WARNING: `git lfs clone` is deprecated and will not be updated
with new flags from `git clone`
`git clone` has been updated in upstream Git to have comparable
speeds to `git lfs clone`.
Cloning into 'stable-diffusion-v1-5'...
remote: Enumerating objects: 28, done.
remote: Total 28 (delta 0), reused 0 (delta 0), pack-reused 28 (from 1)
Unpacking objects: 100% (28/28), 520.99 KiB | 1.30 MiB/s, done.
さらに、また
Do you need to download control_v11p_sd15_openpose? If you want use it select y, if you dont want select n. [y/n] (Default is y):
と聞かれますので y を選択します
実行結果
Downloading control_v11p_sd15_openpose models...
WARNING: `git lfs clone` is deprecated and will not be updated
with new flags from `git clone`
`git clone` has been updated in upstream Git to have comparable
speeds to `git lfs clone`.
Cloning into 'control_v11p_sd15_openpose'...
remote: Enumerating objects: 8, done.
remote: Total 8 (delta 0), reused 0 (delta 0), pack-reused 8 (from 1)
Unpacking objects: 100% (8/8), 1.34 KiB | 20.00 KiB/s, done.
Installing Video_controlnet_aux...), 723 MB | 68 MB/s
Submodule 'video_controlnet_aux' (https://github.com/sdbds/video_controlnet_aux) registered for path '../video_controlnet_aux'
Cloning into 'D:/ai_experiment/magic-animate-for-windows/video_controlnet_aux'...
Submodule path '../video_controlnet_aux': checked out '9a86fb8077e0fae573ad5240d615bb0a08765874'
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Created wheel for oss2: filename=oss2-2.17.0-py3-none-any.whl size=112427 sha256=6f9209204acda27b076f9c1535abe3f2bef411caafe515db21e797e5074492d1
Stored in directory: c:\users\ml\appdata\local\pip\cache\wheels\99\52\da\df6e576cc8838de542556dc5e3e728b3679e345427441f1d4d
Building wheel for aliyun-python-sdk-core (setup.py) ... done
Created wheel for aliyun-python-sdk-core: filename=aliyun_python_sdk_core-2.15.1-py3-none-any.whl size=535341 sha256=e69edbfd184130357017f4089f45c65e9e6fa6161bc02b97f4073b92eb641d03
Stored in directory: c:\users\ml\appdata\local\pip\cache\wheels\37\ff\46\20b55b0ffac0b896afb4c52c46f2bd07a3225cf6f509ffe33e
Building wheel for crcmod (setup.py) ... done
Created wheel for crcmod: filename=crcmod-1.7-cp311-cp311-win_amd64.whl size=25025 sha256=e96c545ef71581e9f9e778cb3c40b0b87a4d79f859fa92616bea572a17044dca
Stored in directory: c:\users\ml\appdata\local\pip\cache\wheels\4e\f0\4b\0f8f16d092db2f224476aa182963488cc25a30a87ea329661b
Successfully built moviepy oss2 aliyun-python-sdk-core crcmod
Installing collected packages: crcmod, tqdm, setuptools, requests, pycryptodome, ordered-set, jmespath, filelock, decorator, rich, proglog, model-index, cryptography, moviepy, aliyun-python-sdk-core, aliyun-python-sdk-kms, oss2, openxlab, opendatalab, openmim
Attempting uninstall: tqdm
Found existing installation: tqdm 4.66.1
Uninstalling tqdm-4.66.1:
Successfully uninstalled tqdm-4.66.1
Attempting uninstall: setuptools
Found existing installation: setuptools 65.5.0
Uninstalling setuptools-65.5.0:
Successfully uninstalled setuptools-65.5.0
Attempting uninstall: requests
Found existing installation: requests 2.31.0
Uninstalling requests-2.31.0:
Successfully uninstalled requests-2.31.0
Attempting uninstall: filelock
Found existing installation: filelock 3.12.2
Uninstalling filelock-3.12.2:
Successfully uninstalled filelock-3.12.2
Attempting uninstall: rich
Found existing installation: rich 13.7.1
Uninstalling rich-13.7.1:
Successfully uninstalled rich-13.7.1
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
torchaudio 2.3.1+cu118 requires torch==2.3.1+cu118, but you have torch 2.0.1+cu118 which is incompatible.
Successfully installed aliyun-python-sdk-core-2.15.1 aliyun-python-sdk-kms-2.16.3 crcmod-1.7 cryptography-42.0.8 decorator-4.4.2 filelock-3.14.0 jmespath-0.10.0 model-index-0.1.11 moviepy-1.0.3 opendatalab-0.0.10 openmim-0.3.9 openxlab-0.1.0 ordered-set-4.1.0 oss2-2.17.0 proglog-0.1.10 pycryptodome-3.20.0 requests-2.28.2 rich-13.4.2 setuptools-60.2.0 tqdm-4.65.2
Install completed
途中、エラーメッセージなどいくつか表示されることがありますが、基本きにしなくてOKです
実行
インストールがおわると、ディレクトリ位置が変化してしまっているので、１つ上に戻りましょう
PS D:\ai_experiment\magic-animate-for-windows\video_controlnet_aux> cd..
そこで、
.\run_gui.ps1
を実行します
実行結果
(venv) PS D:\ai_experiment\magic-animate-for-windows\video_controlnet_aux> cd..
(venv) PS D:\ai_experiment\magic-animate-for-windows> .\run_gui.ps1
D:\ai_experiment\magic-animate-for-windows\magicanimate\pipelines\pipeline_animation.py:43: FutureWarning: Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from diffusers.pipelines.pipeline_utils instead.
from diffusers.pipeline_utils import DiffusionPipeline
Initializing MagicAnimate Pipeline...
Downloading tokenizer/vocab.json: 100%|███████████████████████████████████████████| 1.06M/1.06M [00:00<00:00, 2.50MB/s]
Downloading tokenizer/merges.txt: 100%|█████████████████████████████████████████████| 525k/525k [00:00<00:00, 1.23MB/s]
Downloading (…)cial_tokens_map.json: 100%|████████████████████████████████████████████████████| 472/472 [00:00<?, ?B/s]
Downloading (…)okenizer_config.json: 100%|████████████████████████████████████████████████████| 806/806 [00:00<?, ?B/s]
### missing keys: 1246;
### unexpected keys: 51;
The config attributes {'addition_embed_type': None, 'addition_embed_type_num_heads': 64, 'addition_time_embed_dim': None, 'conditioning_channels': 3, 'encoder_hid_dim': None, 'encoder_hid_dim_type': None, 'global_pool_conditions': False, 'num_attention_heads': None, 'transformer_layers_per_block': 1} were passed to ControlNetModel, but are not expected and will be ignored. Please verify your config.json configuration file.
It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to 8.
It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to 8.
It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to 8.
It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to 8.
Using Densepose ControlNet
D:\ai_experiment\magic-animate-for-windows\magicanimate\pipelines\pipeline_animation.py:103: FutureWarning: The configuration file of this scheduler: DDIMScheduler {
"_class_name": "DDIMScheduler",
"_diffusers_version": "0.21.4",
"beta_end": 0.012,
"beta_schedule": "linear",
"beta_start": 0.00085,
"clip_sample": true,
"clip_sample_range": 1.0,
"dynamic_thresholding_ratio": 0.995,
"num_train_timesteps": 1000,
"prediction_type": "epsilon",
"rescale_betas_zero_snr": false,
"sample_max_value": 1.0,
"set_alpha_to_one": true,
"steps_offset": 0,
"thresholding": false,
"timestep_spacing": "leading",
"trained_betas": null
}
is outdated. `steps_offset` should be set to 1 instead of 0. Please make sure to update the config accordingly as leaving `steps_offset` might led to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file
deprecate("steps_offset!=1", "1.0.0", deprecation_message, standard_warn=False)
D:\ai_experiment\magic-animate-for-windows\magicanimate\pipelines\pipeline_animation.py:116: FutureWarning: The configuration file of this scheduler: DDIMScheduler {
"_class_name": "DDIMScheduler",
"_diffusers_version": "0.21.4",
"beta_end": 0.012,
"beta_schedule": "linear",
"beta_start": 0.00085,
"clip_sample": true,
"clip_sample_range": 1.0,
"dynamic_thresholding_ratio": 0.995,
"num_train_timesteps": 1000,
"prediction_type": "epsilon",
"rescale_betas_zero_snr": false,
"sample_max_value": 1.0,
"set_alpha_to_one": true,
"steps_offset": 1,
"thresholding": false,
"timestep_spacing": "leading",
"trained_betas": null
}
has not set the configuration `clip_sample`. `clip_sample` should be set to False in the configuration file. Please make sure to update the config accordingly as not setting `clip_sample` in the config might lead to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file
deprecate("clip_sample not set", "1.0.0", deprecation_message, standard_warn=False)
Initialization Done!
IMPORTANT: You are using gradio version 4.8.0, however version 4.29.0 is available, please upgrade.
--------
Running on local URL: http://127.0.0.1:7860
Running on public URL: https://78b5770dd2028aa648.gradio.live
このようにサーバーが起動します。
public URL も仕込まれるようです。
動画生成をためしてみる
では、以下の画像を早速入力してみましょう
URL http://127.0.0.1:7860/ を開いて画像を入力します
４分程度まつと、以下のような動画が完成しました。簡単ですね。
実行結果
This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)
D:\ai_experiment\magic-animate-for-windows\magicanimate\pipelines\pipeline_animation.py:624: FutureWarning: Accessing config attribute `in_channels` directly via 'UNet3DConditionModel' object attribute is deprecated. Please access 'in_channels' over 'UNet3DConditionModel's config object instead, e.g. 'unet.config.in_channels'.
num_channels_latents = self.unet.in_channels
100%|██████████████████████████████████████████████████████████████████████████████████| 25/25 [04:13<00:00, 10.12s/it]
100%|████████████████████████████████████████████████████████████████████████████████| 112/112 [00:06<00:00, 16.08it/s]
IMAGEIO FFMPEG_WRITER WARNING: input image is not divisible by macro_block_size=16, resizing from (1544, 516) to (1552, 528) to ensure video compatibility with most codecs and players. To prevent resizing, make your input image divisible by the macro_block_size or set the macro_block_size to 1 (risking incompatibility).
![[AI新規事業創出]Qualitegセレクション：アイディア創造編①Qualiteg式オンラインブレストの活用術](https://images.unsplash.com/photo-1588856122867-363b0aa7f598?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=M3wxMTc3M3wwfDF8c2VhcmNofDF8fGJyYWluc3Rvcm1pbmd8ZW58MHx8fHwxNzEzNzAxNTQ4fDA&ixlib=rb-4.0.3&q=80&w=600)